Comments (4)
没人反映过这个问题的吗?
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您好,感谢您的反馈,如果使用conda安装,可以试一下
export LD_LIBRARY_PATH='/home/{用户名}/anaconda3/envs/{虚拟环境名}/lib/'
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@whysirier 讨论时请遵守参与者公约 。
from paddle.
解决了:
1)nvidia-smi中cuda和nvcc -V的版本要一致
2)假设cuda是12的版本,python -m pip install paddlepaddle-gpu==2.6.1.post120 -f https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.html
3)如果提示libstdc++.so.6: version ‘GLIBCXX_‘ not found , 使用以下命令:
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get install gcc-11 g++-11
sudo apt-get upgrade libstdc++6
4)如果提示RuntimeError: (PreconditionNotMet) The third-party dynamic library (libnccl)
安装nvidia nccl库,配置环境变量 export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/include/nccl.h
5)如果提示libcuda, libcudnn等错误, 配置环境变量:
export CUDA_HOME=/usr/local/cuda-12.2
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
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